An in vitro construct of three dimensional artificial skin equivalent has been engineered using human cervical epithelial cells and human foreskin fibroblasts with a matrix of bovine type I collagen. Two cell lines were established from cervical uteri cancer tissues which have the HPV(human papillomavirus)18 genome. These two cell lines came from the same origin but have slight differencies in growth rate and tumorigenicity. The organotypic raft culturing of epithelial cells were accomplished at air-liquid interface. The differentiation related characteristics were examined by immunohistochemistry using monoclonal antibodies against EGFreceptor, cytokeratin 5/6/18 as proliferation markers and against filaggrin, involucrin, and cytokeratin 10/13 as differentiation marker. We have obtained the stratification and the differentiation in the artificial skin equivalent, and differentiation-related proteins were expressed more in the C3-artificial skin, and proteins of proliferation were expressed more in the C3N-artificial skin, relatively. We found that reconstituted artificial skin have the same characteristics of differentiation proteins of original tissue or cells of human body.

When we inject drugstuffs to a patient for a long time, it is important to control proper injection amount and flow rate. Since inproper injection amount and a flow rate would cause bad a recovery a patient, the relience of sensors which detect injection amount is an important factor for whole injection systems' performance. In this research, we've compared the suitability of three sensors for injection pump monitoring system. The three types of sensors, piezo film sensor, photo transistor made up with three transmitting photodiodes and receving photodiode, and photo array, were selected for comparing. Using suggested data processing technique and photo amy sensors, we could minimize the effect of interference, disturbance, illumanation change, and sensitivity change caused by sensor's position. According to the experiments, the photo amy showed the higher reliance than any other the three types of sensors. The developed systems could be the foundation of beginning home production of infusion pump system and available for the base model of whole monitoring and control systems.

Silicone Rubber (SR)-based potassium- and sodium-selective solid-state electrodes have been developed for the portable blood electrolyte analyzer system. The electrochemical performance of these electrodes have been evaluated with a static experimental setup and with the newly developed blood electrolyte analyzer system (model; HS603). It has been shown that their potentiometric properties are essentially comparable to those of PVC-based ion-selective electrodes, but with greatly improved lifetime (200 and 40 days for potassium and sodium sensors, respectively) and potential stability (within $\pm0.1$ mV). Clinical tests have been performed with real serum samples and the results have been compared with those obtained from Ciba-Corning BGA 288 system; correlations were excellent, proving its practical utility as a new commercial system.

Using a 3-D finite element method (FEM), the biomechanical characteristics of a threaded truncated acetabular component and a porous coated hemispherical acetabular component were studied. The Von-Mises stress/strain patterns in the acetabulum reconstructed with these two different types of cementless acetabular cups were investigated. The geometry and dimensions of human hemi-pelvis used in the present shape modeling for finite element analysis were scanned with a 3-D laser scanner(TDS-9000, Cyberware, USA). The scanned data was numerically handled with a shape modelling software 'Pro-Engineer'. Using 19836, 16853 tetrahedral elements, respectively, the stress and displacement field of the acetabulum reconstructed with the two different types of the acetabular components were computed. While the hemi-sphere component was found to show a relatively similar stress/strain patterns to those in the normal hip, the results with the threaded cup showed a considerably different patterns from those in the normal condition. Several regions in cancellous bone near the threads and the edge of the truncated cup was found to be overstressed, especially in the superior-lateral part of the acetabulum. It was postulated that the excessive reaming-out of subchondral bone layer when the truncated cup was used can cause the presence of these overstressed regions of cancellous bone. This theoretical prediction for the implanted acetabulum appeared to consistent with the pathological observation of proximal/medial migration of the threaded truncated acetabular prostheses in the previous publications.

A numerical technique is employed to simulate the flow patterns in the human carotid artery and a phantom of the carotid artery made of acrylic material is used to observe the flow phenomena in the carotid artery. For numerical analysis the idealized geometric shape of the carotid artery is constructed to portray the phantom. Steady momentum equation is solved by the finite element method and the numerical results are compared with the results of MRA and color Doppler images.

Hip articulation fusion is to relieve hip pain from pathologic joint problem. The questionnaire is followed by hip articulation fusion surgery in order to evaluate the degree of pain, function, mobility. However, this subjective evaluation is controversial. The patient endurance of pain which affect function and mobility of lower extremity call not assess objectively. Therefore, gait analysis is necessary for objective evaluation. This study is to evaluate objectively function and mobility after hip articulation fusion surgery using gait analysis.

At present many kinds of micro actuators and micro mechanical components have been studied, but force transmission to arbitary direction is difficult using the current method. To solve this problem, a micro hydraulic system is expected to be useful. Force transmission to arbitary direction is necessary to development of medical use micromachine. In this paper, we studied about micro hydraulic system and magnetic fluid micro actuator and micro rapid prototyping system. The result of this studies indicated that possibility of the power transmission that using the micro cylinder system.

The objective of this investigation is to understand the role of hemodynamics in the formation and development of atherosclerosis lesions in the human left coronary artery This study also aims to compare the blood flow characteristics of steady and physiological flows. Three dimensional, steady and physiological flows of blood in the left coronary artery are simulated using the Finite Volume Method. Apparent viscosity of blood is represented as a function of shear rate by the Carreau model. Distributions of velocity, pressure and shear stress in tile left coronary artery bifurcation are presented to compare tile steady and physiological flow characteristics.

신체 자세균형의 안정도를 반영하는 압력중심(COP)을 계측하기 위해 정삼각형 모양의 평형판 시스템을 설계, 제작하였고 그 유용성을 평가하였다. 재질로는 강도와 가공성이 뛰어난 듀랄루민을 사용하였고 압력중심(COP)의 위치를 계측하는 힘센 서로는 공업용 로드셀 3개를 사용하였다. COP신호를 검출하는 전자회로를 제작하여 실험한 결과 평형판의 COP 위치측정 오차는 2% 미만이었다. 시스템의 임상응용가능성을 평가하기 위하여 정상인 10명과 이학적 평가가 정상인 환자 4명을 대상으로 임상실험을 수행하였다. 자세안정도를 반영할 척도로써 COP신호의 표준편차($SD_x,\;SD_y,\;SD_r$)를 설정하여 자세가 불안정해짐에 따라, 그리고 시각의 영향이 배제됨에 따라 이 값들이 증가하는 것을 관찰하였다. 또한 환자의 경우에는 정상인과 현저한 차이를 보였다. 즉, 본 평형판시스템이 자세안정도를 정량적이고 예민하게 계측할 수 있음을 확인하였고 임상적 실용성을 검증하였다.

In this paper, we reviewed the ACR-NEMA Digital Imaging and Communications in Medicine (DICOM) standard that was developed for medical imaging equipments interconnected on the standard networks. We also built a simple system that can transmit JPEG compressed DICOM file on network environment and display this medical image on remote-machine.

In imaging the samples or human internal organs in a tube shape, general RF-probe types (that encircles a sample or places on top of the sample) are usually unsuitable for the internal imaging due to the degradation of signal-to-noise ratios(SNR's). In the present study the inside-out probes for Magnetic Resonance Imaging (MRI) have been constructed in the three different shapes such as an anti-solenoidal, a saddle and a dual surface types which are positioned as close to the area as possible by putting the probe inside the tubelike sample to improve filling factor. RF-field distributions have also been calculated depending upon the geometrical changes of anti-solenoid probes. Moreover, the performance of the inside-out probes has been checked by measuring SNR's of the images acquired. The inside-out probes constructed in this study produced better SNR's and rf-field uniformity in the area close to the probes in comparing with any other commercial probes. There is a high possibility that the constructed probes in the present study are applicable to the diagnosis of human bodies.

Electrogastrography(EGG) has been an attractive method for physiological and pathophysiological studies of the stomach and now is on the verge of becoming a new clinical tool in gastroenterology. In this study EGG measurement system was constructed and running spectrum analysis was developed for three-dimensional display of power spectrum with time. The noninvasive technique of EGG is an excellent alternative since the established invasive methods for the study of the stomachs of children and infants.

A clinically oriented 32 channel Electroencephalogram (EEG) and evoked potential (EP) mapping system has been developed. The EEG and EP signals acquired from 32-channel electrodes are amplified by the pre-amplifier located near patient and are then tither amplified by main amplifier. An automatic artifact rejection scheme is employed using a neural network by which examination time is reduced substantially. Auditary and visual stimuli are used for the evoked potential mapping. A user-friendly graphical interface based on the Microsoft Window 3.1 is developed for the operation of the system. Statistical databases for the poop and individual comparisons are also included to support statistically based diagnosis.

In this paper, we improved the O-Ring Measurement System(O-R MS) based on oriental constitutional theory of four classes for objectify constitutional diagnosis by O-Ring test method which is one of effective methods in several constitutional diagnosis. The result of using in a half of year, some problems are pointed out. To settle these problems, we improved the actuator, display module, sensor module, and hardware of controller. Also, the software is supplemented to using the more decision parameters. It is estimated to have a high practical use for the objectified constitutional diagnosis.

본 연구에는 임상병리과의 자동화 검사기기와 컴퓨터간의 데이터 인터페이스용 Case-Tool을 구현하기 위한 통신 규약과 검사결과의 보관과 출력을 위한 데이터 베이스를 구성하였다. Case Tool의 주 처리 모듈은 Microsoft 사의 Visual C++ 2.1을 이용하여 프로그램하여 GUI 환경에서 구현되도록 하였으며, Borland사의 Delphi를 데이터베이스 관리도구로 이용하고 보고서 작성 및 출력은 Delphi에 내장된 Report Smith를 이용하였다. 구현된 Case-Tool은 임상병리과 검사기기의 특성에 관한 몇가지 규약을 조정하면 외부 컴퓨터와의 통신을 간단히 할 수 있었다. 또한, 임상병리과 정보시스템에서 일반적으로 많이 쓰이는 장비들을 선정하고 이들의 공통점과 차이점을 비교, 검토하여 Case-Tool의 유용성을 보였다.

In this paper, we designed a cascade adaptive filter for elimination of the baseline drift and the distortion of the filtered signal. The cascade adaptive filter(CAF) consists of two filters. The first adaptive filter which has the cutoff frequency of 0.3Hz eliminate the noisy signal. The second adaptive filter remove the remnant baseline drift which is not eliminated by the first adaptive filter. Comparing the performance of the CAF with standard filter, recursive notch filter(RNF) and a adaptive impulse correlated filter(AICF), the CAF showed a higher performance in removal of the baseline drift than standard filler, and RNF. Also, considering the distortion of filtered signal, CAF is better than AICF and is comparable to the standard filter.

This paper is a study on the detection of the significant point in ECG signal. ECG signal consists of two components; one is high frequency component to be detected and the other is low frequency component to be removed. AR model is appropriate for modelling and removing the low frequency component. AR model coefficients are updated by artificial neural network algorithm. We can remove the background noise(low frequency) by passing through the AR filter. The remaining signals which include high frequency noise are sent to the matched filter to pass only the signal which we want to extract. The template used in matched filter is updated adaptively.

Medical image compression using the wavelet transform has been tried. Due to the flexibility in representing nonstationary image signal in both time and frequency domains and its ability to adapt human visual characteristics, wavelet transform has unique advantage in images compression. In the proposed wavelet compression original image is decomposed into multi-scale bands. Different scale factors are employed in the quantization of wavelet decomposed images in different bands. For the lowest band, a predictor is designed and error signal is entropy coded. For high scale bands, runlength coding for toro run is used with Huffman coding. From simulation with magnetic resonance images($256\times256$ size, 256 graylevels) the proposed algorithm is superior to the JPEG by more than 2.5 dB in near lossless compression (CR = 8 - 10).

The electronencephalogram (EEG) is a complex electrical signal which reflects generalized brain activity. The EEG is utilized in the clinical assesment of many neurological and psychiatric disorders and offers promise for monitoring of patients undergoing operation. This paper describes a technique for quantitative analysis of EEG signals which is based on an eigenspace. Examples of the application approach to simulated and clinical EEG data illustrate the capabilities.

This paper presents a new method which compensates loss of loudness for digital hearing aids. Loudness grows more rapidly in frequency domain with substantial shifts of hearing threshold, so that loud sounds reach the uncomfortable sound level (UCL) at about the same physical stimulus level as with normal hearing. The result is a compression of the available dynamic range of hearing. Many techniques have been developed to compensate for hearing losses. In this paper, we propose a digital hearing aid which uses a single digital filter for reducing distortion and the fuzzy function to calculate gain factors. This function describes how much gain is needed for every frequency to restore loudness perception of a normal ear.

Due to the self-diffusion of nuclear spins, the edge of phantoms is enhanced in the magnetic resonance imaging (MRI), especially in the case of microscopy [1]. According to several published works, theory has been established that the edge enhancement is caused by the motion narrowing around bounded regions due to diffusions of nuclear spins during data acquisition. It is found, however, that the signal decreases due to the diffusion attenuation and image is distorted as edge of the image is sharpened. In this paper, we wilt investigate this signal loss during data acquisition and its effects on image, i.e., image edge enhancement due to the diffusion phenomenon. This result is new and different from the previously discussed edge enhancement due to the diffusion, namely, by motion narrowing effect or spin bouncing effect at the boundary.

Studies on the formulations of the additives such as antioxidants, crosslinking agent, and trans-stilbeneoxide (StO) with polypropylene (PP) have been carried out to improve the resistance of gamma radiation sterilization. The irradiated PP and ethylene-propylene copolymers samples with control and additives were characterized by mechanical tester, colorimetry, and Fourier transform infrared spectroscopy with total attenuated reflectance mode (FTIR-ATR). Crosslinking agent and StO formulated PP showed remarkable radiation resistance and minimum discoloration. Also, radiation resistance of ethylene propylene copolymers with 3% of ethylene contents was better than that of PP homopolymers in the case of no additives. The proposed mechanisms of radiation stabilization with additives are also discussed.

최근의 마취과학에 관한 연구에 있어서의 주된 경향은 마취심도 및 의식수준의 결정을 신경생리학적인 관점에서 분석하고자 하는 것이다. 즉, 마취와 의식에 관한 인간의 뇌가 가지고 있는 기능이나 약리학적인 반응을 대표할 수 있는 생체신호를 검출, 분석하여 정량화하고 이들을 이용하면 마취심도 및 의식수준과의 큰 상관관계를 얻을 수 있을 것이라 가정하는 것이다. 본 연구에서는 청각유발전위 (LAEP, Long latency Auditory Evoked Potential)를 검출하여 추출된 변수들과 마취제 투여량간의 변화에 따른 상관성을 분석하고자 하였다. 수술환자(17명)를 대상으로 실험을 실시하였으며 마취제로서는 Midazolam과 Diazepam을 인체로 투여하고 1 KHz와 2 KHz의 청각자극을 제시하였을 때 피검자로부터 발생되는 LAEP를 검출하였다. 검출된 LAEP로부터 추출된 N100과 P300의 진폭은 마취량의 증가에 따라서 간소함을 알 수 있었으며, 이러한 유의한 상관성을 보이는 진폭의 변화는 마취제의 투여에 따른 의식수준의 변화를 나타내는 지수(index)의 설정 및 알고리듬의 수립에 이용될 수 있을 것이다.

Residual strain of artery is studied. There has been experimental evidence that residual strain exists in artery. When ring of artery is longitudinally cut, it is opened. Since strain has been determined without considering residual strain, the existence of residual strain is meaningful in mechanics of arterial wall. Intimal strain concentration is considered to be reduced with both account of residual strain and strain determined by loading. However, it is lack of experimental research. Therefore, this study experimentally attempts to quantify the effect of residual strain on circumferential strain which is determined under the assumption of zero strain with zero pressure.

An frequency modulated (FM) DANTE pulse sequence generates a quadratic phase toward the transverse of image by an FM RF pulse. In the image of a serious susceptibility effect, the phase due to the difference of the susceptibility in the pixel occurs susceptibility error which arise signal loss. But the signal loss due to the susceptibility effect in the pixel is reduced when the quadratic phase adds in the pixel. In this paper, we have generated a quadratic function toward the transverse (X-Y) using FM DANTE sequence and the susceptibility effect is reduced in the gradient echo (GE) imaging. Computer simulation and experimental results is obtained by using a whole-body KAIS 2.0T NMR system.

In this paper, an anatomical labeling system for assisting localization of region of interest on human brain imaging is represented. Model image for labeling anatomical name on the other image is Atlas. Object image to be labeled, such as CT, MR, and PET, is registered onto Atlas. And then, anatomical name for region of interest is appeared on a window by clicking mouse button on object image. The same part named anatomically on that region is labeled and drawn on object image.

We have developed a fast steady state free precession interferometry (SSFPI) technique which is useful for the fMRI (functional Magnetic Resonance Imaging). As is known, SSFP sequence with a suitable adjustment of gradient (readout) allows us to measure precession angle $\theta$ which is in turn related to the field inhomogeneity [1-3]. When the method is applied to the susceptibility effect based functional magnetic resonance imaging (fMRI), it was found that the direct susceptibility effect measurement was possible without perturbations such as the backgrounds and inflow effect. In this paper, simulation results and experimental results obtained with 2.0 Tesla MRI system are also presented.

Since one property(i.e. coarseness, orientation, regularity, granularity etc.) of ultrasound liver images was not sufficiently enough to classify the characteristics of livers, we used the multi-feature vectors from ultrasound images to diagnose the liver disease. The proposed classifier, which uses the multi-feature vectors and Bayes decision rule, performed well for the classification of normal, fat and cirrhosis liver. In our simulation, we used the Battacharyya distance and Hotelling Trace Criterion to select the best multi-feature vectors for the classifier and obtained less classification errors than other methods using single feature vector.

In Visually Evoked Potentials(VEP) or Auditory Evoked Potentials(AEP), the components by the stimulation and the components which are irrelevant to the stimulation(noise or nonstationary spontaneous EEG) are mixed together. So one should average hundreds of EP waves to extract the components by the stimulation only. In this study, we have classified EP's, which are the responses of the different stimulations and different states of subjects. To classify the EP waves, the cross-correlation coefficients and neural network method(error back propagation) are used and compared.

An algorithm using topological mapping has been developed for a real-time detection of the QRS complexes of ECG signals. As a measurement of QRS complex energy, we used topological mapping from one dimensional sampled ECG signals to two dimensional vectors. These vectors are reconstructed with the sampled ECG signals and the delayed ones. In this method, the detection rates of CRS complex vary with the parameters such as R-R interval average and peak detection threshold coefficient. We use mean, median, and iterative method to determint R-R interval average and peak estimation. We experiment on various value of search back coefficient and peak detection threshold coefficient to find optimal rule.

In this paper, we proposed the multi-step multi-layer artificial neural network(MMANN) to classify the chromosome, Which is used as a chromosome pattern classifier after learning. We extracted three chromosome morphological feature parameters such as centromeric index, relative length ratio, and relative area ratio by means of preprocessing method from ten chromosome images. The feature parameters of five chromosome images were used to learn neural network and the rest of them were used to classify the chromosome images. The experiment results show that the chromosome classification error is reduced much more, comparing with less feature parameters than that of the other researchers.

In this study, we proposed an algorithm for P-wave detection. It is essential to decide the existence of P-wave and to extract some parameter about P-wave in automated ECG interpreter. Especially this paper describes the detection and estimation of three case, artrial flutter, coupled and non-coupled, which are very crucial things in ECG diagnosis. The performance of algorithm is showed by applying it to CSE(Common Standards for Quantative Electrocardiography) database.

Analysis of Heart Rate Variability has been studied to estimate autonomic nervous system. PR interval represents conduction time from atrium to ventricle. PR interval variability(PRV) is also can be used to estimate autonomic nervous system. We have acquired two-state ECGs of children who are before vagal stimulation and after vagal stimulation. We applied chaotic theory to each ECG in order to analyze PRV, and compared the results from frequency domain analysis. The correlation dimension of PRV of pre-stimulated children is higher than that of post-stimulated children.

전기유압식 좌심실 보조장치에서 모터 전류 파형을 정보로 하여 작동기의 이완기 속도를 조절함으로써 좌심방으로부터 유입되는 혈류량을 조절하는 알고리즘을 개발하였다. 전기 유압식 좌심실 보조장치에서는 혈액의 유입이 능동적으로 이루어지므로, 좌심방 함몰로 인한 심근 손상 및 외부 공기 유입으로 인한 색전증을 방지하기 위해 유입혈류량을 현재 좌심방 내의 상태에 따라 적절히 조절해 주어야 한다. 좌심방 내의 혈액량 정도는 혈액을 유입해내는 작동기의 이완기 동작 시에 소모되는 에너지 크기에 반영되고, 작동기를 구동하는 모터에 들어가는 전류의 크기는 작동기에 공급되는 에너지에 비례하므로, 이 전류 파형의 정보들을 통해 좌심방 내의 상태를 추정해 볼 수 있다. 본 논문에서는 퍼지로직을 적용하여 모터 전류 파형의 이상 유무를 판단한 뒤 이에 따라 작동기의 이완기 속도를 조절하는 알고리즘을 개발하여 모의순환장치 실험을 통해 그 실효성을 검증한 결과를 정리하였다.

A new atrial pressures balancing method for moving actuator total artificial heart(TAH) without an extra compliance chamber is developed. The structural characteristics of the pendulous moving actuator have made it possible to compensate the left and right pump output difference by utilizing the interventricular air space as an internal compliance chamber in a pump housing. Furthermore, the balancing performance is increased through the improvement of the flexibility of part of the polyurathane housing. However, the increase of the flexibility of the housing causes a little loss of the cardiac output due to the reduction of active filling performance. In this paper, a good condition between the balance and pump output performance is evaluated by adjusting the air volume in the interventricular space through a series of in vitro experiment.

인공심장에서의 박출량제어는 전부하에 따른 심박출균형, 심실내 완전충만과 완전구출을 구현하는데 그 목적이 있다. 본 논문에서는 인공심장 내부의 심실간 공간 압력파형을 심박출량의 제어에 활용하였다. 이를 위해서는 심실간 공간의 압력파형을 심실 유입부와 유출부의 혈류량에 대한 정보, 이동작동기의 위치신호와 동기시켜 해석하는 것이 필요하다. 이러한 압력파형의 해석을 바탕으로, 심실간 공간의 음압 크기로 좌,우 심방압을 추정하고 작동기의 좌,우 수축기때 심실간 공간의 음압크기를 비슷하게 유지하도록 작동거리를 제어하면 좌우 심박출 균형을 이룰 수 있음을 확인하였다. 또한, 심실의 완전충만과 완전구출의 실현을 위한 심실 충만 정도를 추정할 수 있게 하는 인자를 제시하였다.

모든 살아있는 조직은 표면전위(surface electropotentials)를 가지고 있으며, 이는 조직에 손상를 가져오는 상처가 발생되었을 때 그 상처를 치료하는데 큰 역할을 담당하고 있다. 즉, 상처부위에 인위적으로 표면전위의 특성을 가진 전기적인 자극을 가함으로서 상처의 치료효과를 높일 수 있으며, 그 중에서도 상처의 발생 직후에 음(-)의 전기자극을 가할 때 높은 치료효과를 나타내는 것으로 알려져 있다. 본 연구는 상처의 치료에 전기자극을 사용할 때, 자극의 특성 변화가 치료의 효과를 높일 수 있는가에 대한 기초 연구로서 수행하였다. 즉, 쥐의 복부부위를 일정한 크기로 절개하고, 그 부위에 1mA와 10mA의 자극 펄스를 지속시간을 10msec와 100msec로 변화하면서 $1\sim3$일간 제시한 후 상처가 치료된 정도를 비교하였다. 모든 자극이 끝난 후 상처부위에 대한 조직검사를 수행하여 육아조직(granulation tissue)의 상태를 관찰하였다. 그 결과 전기자극을 전혀 가하지 않은 그룹에 비하여 전기자극을 행한 그룹들의 육아조직에 있어서 그 형성 상태가 양호하였고, 괴사현상이 나타나지 않았으며, 염증의 정도가 낮게 나타났음을 발견하였다. 또한, 자극의 횟수를 증가할수록 전기자극으로 인한 치료의 효과가 크게 나타났음을 알 수 있었다. 그러나, 각 그룹 내에서 자극의 특성을 변화시키며 수행한 검사의 결과는 큰 차이를 보이지 않았다.

There has presently been made impressional progress in the data communications and communication equipment market throughout the industry. Especially the CALS(Commerce At Light Speed) that is currently rising domestically, clearly shows the changes In the communication market in the near future. This will also apply to medical equipments where there will be significant progress in communications between medical equipments or through present network system. We will show how these communication equipments can be applied to the equipments we are designing, and how these application can be used.

A new localized imaging technique of reduced imaging time using a locally-linear gradient is proposed. Since most fast MR imaging methods need the whole k-space data corresponding to the whole imaging area, there are limitations in reducing the minimum imaging time. The imaging method proposed in this paper uses a specially-made gradient coil generating a local ramp-shape field and uniform field outside of the imaging area. Conventional imaging sequences can be used without any RF/gradient pulse sequence modifications. The proposed localized imaging technique has been implemented on a 2.0 Tesla whole-body system at KAIST and the imaging results show the utility of the proposed technique.

이 논문의 목적은 Target field approach를 사용하여 2차원적인 공간선택을 할 수 있는 방사형 표면 경사 자계코일 (Radial SGC : Radial Surface Gradient Coil)을 설계하는 것이다. 지금까지 쓰이던 원통형의 고차경사자계코일을 이용한 2차원적 원형 선택방법은 한개의 RF Puise로 2차원적인 공간 선택을 할 수 있는 장점이 있었으나 선택되어지는 체적의 지름이 6-8cm로 너무 크다는 단점이 있었다. 이 논문에서는 이와같은 단점을 극복하기 위해 영상을 얻고자하는 부분에 코일을 좀 더 가까이 붙일 수 있으며 선택되어지는 체적의 지름을 1-4cm까지 줄일 수 있는 표면 고차자계코일을 Target field approach 방법을 이용하여 설계하였으며 Phantom과 인체영상을 통해 제작된 코일의 성능을 확인해 보았다. 과거에 사용되었던 Field component method에서는 선택되는 부분이 찌그러지는 경우가 있었으나 Target field approach 방법에 의해 설계된 코일에 의하여 선택되는 부분은 이상적인 원에 가까운 모양이 되었다.

Polymers have been one of the emerging biomedical materials in the area of biomedical research which are applicable to the human body. For human applications, noninvasive characterization of the biomedical polymers has been one of the important topics, and is valuable information. Among others, the swelling rate is one of the important measurements needed for the hydrophilic polymers. NMR imaging has been a suitable method for the noninvasive study of such a material since it is sensitive to many physical and biochemical changes of the specimens. In addition, NMR techniques possess many useful intrinsic properties such as the relaxation and diffusion effects. The present study has provided a noble and noninvasive method of measuring the process of swelling as well as volumetric changes occurred in polymers and drug delivery processes in a drug delivery system (DDS) together with changes of released drug. This gives information, relating with both water ingress process, volumetric changes of polymer specimens and the visualization of sequential drug delivery process. Also, this study provides more reliable method to ascertain the time dependent swelling process compared to the conventional method. The important aspects is that the proposed method is truly noninvasive and is able to ascertain time dependent processes.

Confocal laser scanning microscopy (CLSM)는 기존의 coherent or incoherent microscopic imaging 보다 횡축 방향 (lateral direction)으로 고해상도를 가지며, 층과 층 사이를 구분하는 광축 방향 (axial direction)의 optical sectioning에 의해 샘플의 3D 구조를 고해상도로 영상화함으로써 3D 구조 및 생체 기능 분석을 가능하게 해 준다. 본 논문에서는 CLSM에 의한 3D 영상화 원리와 촛점면 부근에서 얻어지는 광세기 분포, 얻어진 2D slice 영상의 시각화 및 응용에 대해 논의된다.

Signal averaging technique to improve signal-to-noise ratio has widely been used in various fields, especially in electrophysiology. Estimation of the EP(evoked potential) signal using the conventional averaging method fails to correctly reconstruct the original signal under EEG(electroencephalogram) noise especial]y when the latency times of the evoked potential are not identical. Therefore, a technique based on the bispectrum averaging was proposed for recovering signal waveform from a set o noisy signals with variable signal dalay. In this paper an improved bispectrum estimation technique of the RP signal is proposed using a confidence thresholding of the EP signal in frequency domain in which energy distribution of the EP signal is usually not uniform. The suggested technique is coupled with the conventional bispectrum estimation technique such as least square method and recursive method. Some results with simulated data and real EP signal are shown.

많은 생리적 지능 연구자들은 생체신호 또는 생리적 측정치들을 지능의 새로운 측정치로서 제안하고 있는데, 이들의 기본 가정은 현재의 지능검사는 교육, 가정의 양육태도, 부모의 사회경제적 지위와 같은 문화적 요인에 의해 크게 좌우되므로 지능의 편파적인 측정치가 될 수밖에 없고, 이러만 요인에 가장 적게 영향받는 생리적 측정치만이 순수한 지능 즉정치가 될 수 있다는 것이다. 따라서, 본 연구는 이러한 생리적 신호들 중 EOG(electro-oculograph)를 이용하여 안구의 움직임을 기록함으로서 피검자의 문제해결을 위한 집중력과 이해력 등을 알아보고자 하였다. 또한, 피검자의 정보처리과정을 알아보기 위해 반응시간(RT, reaction time)을 측정하였다. 17명의 건강한 남녀 학생들이 실험에 참여하였으며, 첫단계로 Raven's Advanced Matrices 검사와 IQ 검사를 실시하고, 검사 결과에 근거하여 각각을 세 그룹으로 나누었다. 두번째 단계로는 슬라이드로 제작된 도형유추과제를 푸는 동안 EOG와 RT를 측정하였다. IQ 검사 점수, RT, 그리고 EOG로부터 추출된 변수들 간의 상관관계를 구하기 위해 GLM(general linear model) 및 Duncan's multiple range test를 위한 통계분석을 수행하였다. 분석결과를 통하여 도형유추과제의 난이도가 높을수록 EOG변수들에 의한 지능점수의 분류능력이 높음을 알 수 있었으며, Raven그룹보다는 IQ그룹에 대한 분류가 더욱 잘 이루어졌음을 발견하였다. 그리고, RT는 Raven그룹과 IQ그룹 모두에서 높은 변별력을 나타내고 있음을 확인하였다.

In this paper, we have developed EEG (electroencephalography) analyzer for monitoring the condition of brain in neurological surgery. This system is composed of EEG amplifier. personal-computer and BSP (Digital Signal Processor). By parallel processing of DSP, this system can analysis the power spectral density change of EEG in real-time and display the CSA(Compressed Spectral Array) and CDSA(Color Density Spectral array) of EEG. This system was tested by real EEG and showed the change of EEG.

In this paper, we present a feedback structured adaptive RF filter based on the recursive modified Gram-Schmidt algorithm for short-term prediction of EEG signal. And the performance of this proposed filter is compared with those of linear AR model, RF filter, Volterra filter and RBF neural network as single-step prediction and multi-step prediction. The results show the superiority of this proposed filter in prediction of EEG signals.